Senior Software Engineer at Growth Acceleration Partners, designing and deploying production - grade AI solutions. Collaborating closely with data, platform, and product teams in a hybrid setup.
About the role
- Research intern applying machine learning techniques to impactful projects in Seagate's Software and Applied AI Research team. Opportunity to work on AI solutions, predictive maintenance, and more.
Responsibilities
- Apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team
- Applying predictive analytics for Hard Disk Drive (HDD) applications
- Optimizing data flow throughput for Storage solutions with ML
- Developing AI solutions tailored at the edge
- Profiling and analyzing AI workloads
- Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models)
- AI Driven Material Discovery
Requirements
- Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field
- Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java)
- Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.
- Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning
- A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus
- Knowledge or experience in one or more of the following areas: Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications
- Machine Learning for vision or natural language processing (NLP)
Benefits
- Employee recreational facilities
- Badminton courts
- Table tennis tables
- In-house gym
- Recreation rooms
- Yoga classes
- Zumba classes
- Classes and interest groups in photography, gardening, and foreign languages
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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